Smart Retail
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CUSTOMER REQUIREMENTS
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Insufficient feedback on sales data makes it difficult to accurately determine customer preferences.
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The shop assistant draws a store layout based on experience,
which is greatly affected by personal factors.
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Long market survey cycle
Inaccurate sales data
Multi-directional exploration and experimentation
Unable to predict the types of products sold
Poor shop performance

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The operation mode under the supervision 

of the shop manager is constrained by energy limitations, 

resulting in an inability to monitor operations 

in real time and difficulty in improving the service level.

SOLUTION

Marketing data structured analysis platform based on MIIVII LITE NX MINI

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Based on algorithms such as human detection and tracking, and image recognition, the MIIVII device provides the functions of passenger flow statistics, regional passenger flow analysis, and panoramic heat maps through panoramic cameras.
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The cloud provides multi-dimensional sales funnel analysis using information such as product access rates and usage rates uploaded by edge devices.
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The MIIVII device records the behaviors of shop assistants through behavior analysis and recognition algorithms, and uploads them to cloud storage.
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FRAMEWORK
VALUE
01
Small size, low noise, real-time processing of camera data, lower bandwidth costs.
02
Analyze the shops' customer attraction based on the flow of customers into the shops; analyze customer interest in the products based on the residence map; analyze passenger flow in each area based on the frequency map, and optimize the layout.
03
Help understand purchase intentions and optimize product categories; quickly replicate the operational methods of well-performing shops in other shops.
04

Monitor the service behavior of the shop assistant and improve the level of service.


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